ObjectiveTo observe RNA-Seq analysis of gene expression profiling in retinal vascular endothelial cells after anti-vascular endothecial growth factor (VEGF) treatment.MethodsRetinal vascular endothelial cells were cultured in vitro, and the logarithmic growth phase cells were used for experiments. The cells were divided into the control group and high glucose group. The cells of two groups were cultured for 5 hours with 5, 25 mmol/L glucose, respectively. And then, whole transcriptome sequencing approach was applied to the above two groups of cells through RNA-Seq. Now with biological big data obtained as a basis, to analyze the differentially expressed genes (DEGs). And through enrichment analysis to explain the differential functions of DEGs and their signal pathways.ResultsThe gene expression profiles of the two groups of cells were obtained. Through analysis, 449 DEGs were found, including 297 upregulated and 152 downregulated ones. The functions of DEGs were influenced by regulations over molecular biological process, cellular energy metabolism and protein synthesis, etc. Among these genes, ITGB1BP2, NCF1 and UNC5C were related to production of inflammation; AKR1C4, ATP1A3, CHST5, LCTL were related to energy metabolism of cells; DAB1 and PRSS55 were related to protein synthesis; SMAD9 and BMP4 were related to the metabolism of extracellular matrix. GO enrichment analysis showed that DEGs mainly act in three ways: regulating biological behavior, organizing cellular component and performing molecular function, which were mainly concentrated in the system generation of biological process part and regulation of multicellular organisms. Pathway enrichment analysis showed that gene expressions of the two cell groups were differentiated in transforming growth factor-β (TGF-β) signaling pathway, complement pathway and amino acid metabolism-related pathways have also been affected, such as tryptophan, serine and cyanide. Among them, leukocyte inhibitory factor 9 and bone morphogenetic protein 4 play a role through the TGF-β signaling pathway.ConclusionsHigh glucose affects the function of retinal vascular endothelial cells by destroying transmembrane conduction of retinal vascular endothelial cells, metabolism of extracellular matrix, and transcription and translation of proteins.
Diabetic retinopathy is a serious complication of diabetes and is the leading cause of blindness in people with diabetes. At present, there are many views on the pathogenesis of diabetic retinopathy, including the changes of retinal microenvironment caused by high glucose, the formation of advanced glycation end products, oxidative stress injury, inflammatory reaction and angiogenesis factor. These mechanisms produce a common pathway that leads to retinal degeneration and microvascular injury in the retina. In recent years, cell regeneration therapy plays an increasingly important role in the process of repairing diseases. Different types of stem cells have neurological and vascular protection for the retina, but the focus of the target is different. It has been reported that stem cells can regulate the retinal microenvironment and protect the retinal nerve cells by paracrine production, and can also reduce immune damage through potential immunoregulation, and can also differentiate into damaged cells by regenerative function. Combined with the above characteristics, stem cells show the potential for the repair of diabetic retinopathy, this stem cell-based regenerative therapy for clinical application provides a pre-based evident. However, in the process of stem cell transplantation, homogeneity of stem cells, cell delivery, effective homing and transplantation to damaged tissue is still a problem of cell therapy.
ObjectiveTo investigate the role of apelin, glycosylated hemoglobin (HbA1c), cholesterol (TC), triglyceride (TG), High density lipoprotein cholesterol (HDLC), low density lipoprotein cholesterol (LDLC) in the development and progress of diabetic retinopathy (DR). MethodsThe serum concentration of apelin, HbA1c, TC, TG, HDLC and LDLC were measured in 30 normal control subjects and 90 patients with type 2 diabetic mellitus, including 30 cases without DR (NDR), 30 with non-proliferative DR (NPDR), 30 with proliferative DR (PDR). These data were analyzed by SPSS for windows 13.0. ResultsThe serum concentration of apelin, HbA1c, TC, HDLC, LDLC were significantly higher in NDR, NPDR, PDR group than those in control group (F=403.06, 5.45, 4.27, 201.56, 4.90;P < 0.05). The serum concentration of TG has no significantly difference (F=2.19, P > 0.05). The serum concentration of apelin, HbA1c, TC, LDLC were significantly higher in NDR, NPDR, PDR group than those in control group (t=0.30, 0.58, 0.79;P < 0.05), the serum concentration of HDLC were significantly lower than those in control group(t=0.79, P < 0.01). There were significantly positive correlation between the progression of DR and the serum concentration of apelin, HbA1c, TC, LDLC(r=0.962, 0.562, 0.935;P < 0.05). There were significantly negative correlation between the progression of DR and the serum concentration of HDLC(r=-0.753, P < 0.01). There were correlation between apelin and HbA1c, LDLC and HDLC(r=0.956, 0.741, -0.691;P < 0.01). ConclusionOur data demonstrated that serum apelin levels increased significantly in patients with diabetic retinopathy, and are closely related to blood sugar, blood lipid metabolic abnormalities.
Dyslipidemia plays an important role in the pathogenesis of diabetic retinopathy (DR).Apreliminary study found that low-density lipoprotein cholesterol, apolipoprotein (Apo)Band ApoB/ Apo A1 ratio were positively correlated with DR, while high-density lipoprotein cholesterol, Apo A1 was negatively correlated with DR and proliferative DR. Reducing the blood fats to be helpful to DR control. However, the mechanism of hyperlipidemia in the pathogenesis of DR, the reason of dyslipidemia in diabetic patients and the interaction between hyperglycemia and hyperlipidemia in DR are not clear yet. Moreover, there is no predictive indicators related to blood lipid for DR. Understanding the relationship between dyslipidemia and DR can provide definite evidence for fat-reducing therapy for DR control.
Microvesicles (MVs) is small membrane vesicles released from different cell types under different conditions. Studies have shown that MVs may mediate vascular inflammation, angiogenesis, and other pathological processes. MVs may play an important role in the pathogenesis of diabetic retinopathy (DR) by mediating endothelial cell injury, thrombosis and neovascularization. The plasma MV level may be an effective parameter to monitor the development of DR. This article will summarize the research progress of the relationship between MVs and DR in recent years.
Objective To investigate the relationship between subclinical hypothyroidism (SCH) and diabetic retinopathy (DR) in patients with type 2 diabetes mellitus (T2DM). Methods A total of 792 patients of T2DM were enrolled in the study. There were 448 males and 344 females, with an average age of (54.13±13.06) years. The average duration of diabetes was (8.03±6.70) years. The patients were grouped according to the degree of DR and thyroid function. Among them, 483 patients (61.0%) were no DR, 240 patients (30.3%) were mild DR, 69 patients (8.7%) were severe DR. 725 patients (91.5%) were normal thyroid function, 67 patients (8.5%) were SCH. The prevalence of SCH among no DR group, mild DR group and severe DR group was compared. And the prevalence of DR between normal thyroid function group and SCH group was compared. Logistic regression analysis was used to estimate the association between SCH and DR. Results No significant differences among the three groups (no DR group, mild DR group, severe DR group) were found in the prevalence of SCH (χ2=1.823,P=0.402). There were no significant differences in the incidences of DR between normal thyroid function group and SCH group (χ2=1.618,P=0.239). Logistic regression analysis demonstrated that SCH was not significant associated with DR [mild DR: odds ratio (OR)=1.361, 95% confidence interval (CI)=0.773?2.399,P=0.286; severe DR:OR=1.326, 95%CI=0.520?3.384,P=0.555; DR:OR=1.353, 95%CI=0.798?2.294,P=0.261). Conclusion SCH is not significant associated with DR in patients with T2DM.
Objective To investigate the relationship between diabetic retinopathy (DR) and coronary atherosclerosis (CAS) in type 2 diabetes patients and other risk factors of DR. Methods A total of 118 patients of type 2 diabetes with DR (DR group), 120 patients of type 2 diabetes without DR matched in age and sex (non-DR group), and 86 normal controls (control group) were enrolled in this study. The body mass index (BMI), blood pressure (BP), fasting blood-glucose (FPG), glycosylated haemoglobin (HbA1C), total cholesterol (TC), triglyceride (TG), high density lipoprotein cholesterol (HDL-C), low density lipoprotein cholesterin (LDL-C), creatinine, estimate glomerular filtration rate (eGFR) and urinary albumin excretion rate(UAER) in all the subjects were measured. Meanwhile, the incidence of CAS in the three groups was detected by 64slice multidetector computed tomography angiography (MDCTA). Assume concurrent DR as dependent variable, clinical indicators and laboratory parameters as independent variable, the risk factors were determined by Logistic regression analysis. In addition, CAS as dependent variable, DR as fixed factor, analysis of covariance was used to investigate the relationship between CAS and DR. Results The incidence of CAS in DR group was higher than that in nonDR group and control group, the differences were statistically significant (chi;2=26.9,35.5;P＜0.05). The results of Logistic regression analysis showed that systolic BP, BMI, CAS, myocardial infarction and UAER were key risk factors for DR ［odds ratio (OR)=1.02, 0.89, 4.50, 3.89, 1.34;P＜0.05］. There was a negative relationship between BMI and DR. The results of analysis of covariance showed that there was significant correlation between CAS and DR (OR=5.31, 95% confidence interval=2.62-10.60; P＜0.05). Conclusion CAS is independently associated with DR in type 2 diabetes patients. In addition, the other risk factors for DR include systolic BP, BMI, myocardial infarction and UAER.
Objective To observe the serum betatrophin levels in patients with type 2 diabetes mellitus (T2DM) and to explore the role of betatrophin in the pathogenesis of diabetic retinopathy (DR). Methods A total of 59 patients with T2DM (DM group) and 14 healthy controls (NC group) were enrolled in the study. Vision, slit lamp microscope, indirect ophthalmoscope, fluorescein fundus angiography were performed on all the subjects. According to the results of the examination combined with the international DR clinical staging criteria, the patients were divided into no DR (Non-DR) group, non-proliferative DR (NPDR) group, and proliferative DR (PDR) group, with 30, 20 and 9 patients in each, respectively. The fasting blood glucose (FPG), insulin (FIN), C-peptide, glycated hemoglobin (HbA1c), total cholesterol (TC), triglyceride (TG), high-density lipoprotein (HDL-C), low-density lipid Protein (LDL-C) levels were detected. The level of betatrophin in serum was determined by enzyme-linked immunosorbent assay. The correlation between betatrophin and other indicators was analyzed by Spearman correlation. The influencing factors of PDR were analyzed by logistic regression. Results Compared with subjects in the NC group, the level of FPG (F=-4.316, P＜0.001), FIN (F=2.142, P=0.001), HbA1c (F=-5.726, P＜0.001), TC (t=3.609, P=0.010), LDL-C (t=0.000, P=0.003), and betatrophin (F=-2.263, P=0.024) were significantly increased and HDL-C level (F=-3.924, P＜0.001) was decreases in the DM group. The difference of TG level between two groups was not statistically significant (F= -1.422, P=0.155). Compared with the Non-DR group and the NPDR group, the serum C-peptide (F=7.818, P=0.020) and betatrophin levels (F=12.141, P=0.002) were significantly increased in the PDR group. Spearman correlation analysis showed that the levels of betatrophin in the DM group was positively correlated to TC (r=0.304, P=0.019). The serum levels of betatrophin was positively correlated to body mass index in the Non-DR group (r=0.513, P=0.004). Furthermore, in the PDR group, a significant positive correlation was observed between the serum betatrophin levels and diastolic blood pressure (r=0.685, P=0.042). Logistic regression analysis showed that the duration of diabetes, serum C-peptide and betatrophin levels were risk factors for PDR. After controlling for the duration and serum C-peptide, the PDR risk for betatrophin levels great than or equal to 1.0 ng/ml was 12 times as much as betatrophin levels less than 1.0 ng/ml in T2DM patients. Conclusions The serum betatrophin content of patients with T2DM is abnormal. Betatrophin may be involved in the occurrence and development of PDR.
Objective To analyze the expression of apoptosis-related genes of retinal blood vessel in early diabetic rats by gene chip technology. Methods To make diabetic rat model by intraperitoneal injection of streptozotocin (STZ). On the 6th week after blood pressure increased, 10 rats were executed in Diabetic group and normal control group respectively. 20 retinal blood vessels were extracted and the RNA was isolated. The probe was made of alpha;-32 P-deoxyadenosine triphosphate (dATP)-labeled sample which hybridized 1176 nylon chips, and then analyzed by software. Three different expression genes were selected to verify by reverse transcription polymerase chain reaction (RT-PCR). Results On the 6th week, 136 （11.5％） genes were differentially expressed ［up-regulated genes were 90(7.6%), down-regulated genes were 46(3.9%)］in diabetic group. These genes involved into different groups according to their function. Especially in 72 apoptosis-related genes, 15 genes were differentially expressed. The up-regulated genes were some TNF receptor family members such as TNFRSF12, TRAIL, TNFRSF9, FADD；Bcl-2 family members such as bcl-w, bax, bak1 and AKT. The down-regulated genes were FAF1 which related to fas. Conclusions The expression of retinal vascular gene in early diabetic rats has been changed complicatedly. In particular, the multiple apoptosis-related genes have been changed in early diabetic, and most of them are at the upstream of apoptosis pathway. These findings indicate that the development of diabetic retinopathy is associated with multiple signaling pathways leading to apoptosis, while the alterations on the level of molecular biochemistry are still limited in apoptosis induction period. （Chin J Ocul Fundus Dis，2008，24：244-248）
Objective To determine the association of -429T/C and G1704T polymorphisms in the receptor for advanced glycation end products gene with proliferative diabetic retinopathy (PDR). Methods Case-control study. From the Beijing Desheng Diabetic Eye Study cohort of 1467 patients with type 2 diabetes mellitus (T2DM),atotal of 97 patients with PDR and 105 diabetic patients without retinopathy (DWR, duration of diabetes 15 years) were included for this study. Questionnaires were collected and general ophthalmologic examinations were performed. Biochemical analysis was conducted. DNA was extracted from peripheral venous blood. The -429T/C and G1704T single nucleotide polymorphisms were detected by the means of PCR-restrication fragment length polymorphisms. Results The frequency distribution of -429T/C in DWR group was 81.0% in TT, 16.1% in TC, 2.9% in CC. The frequency distribution of -429T/C in PDR group was 77.3% in TT, 20.6% in TC, 2.1% in CC. There was no significant statistical difference between the two groups (χ2=0.40, P > 0.05). Frequency of the -429T/C minor alleleCin the DWR and PDR group were 11.0% and 12.4%, respectively, with no significant statistical difference between the two groups (χ2=0.20，P > 0.05). The frequency distribution of G1704T in DWR group was 66.7% in GG, 29.5% in GT, 3.8% in TT. The frequency distribution of G1704T in PDR group was 78.4% in GG, 21.6% in GT. There was no significant statistical difference between the two groups (χ2=3.44, P > 0.05). Frequency of the G1704T minor alleleTin the DWR and PDR group were 18.6% and 10.8%, respectively, in which significant difference was found within the two groups (χ2=4.79, OR=1.88，95%CI: 1.06 - 3.33, P > 0.05). Conclusions G1704T polymorphism is associated with PDR presence and 1704G allele may increase the risk of PDR.